My research aims to develop data-driven, intelligent Earth System frameworks for monitoring, understanding, and predicting climate–air quality–health interactions, with the goal of supporting sustainable, healthy, and carbon-neutral societies. I integrate high-resolution surface and satellite observations, advanced statistical methods, machine learning, and multi-scale modeling, ranging from Earth System models to regional chemistry–climate models and health impact models. 

My research interests are:

1) Environmental Data Science

2) Multi-Scale Modeling of Earth System Interactions

3) Climate–Environment–Health Interactions and Policy Applications